AI SRE

Bringing together agentic and embedded AI across Splunk Observability Cloud, the AI SRE is an agentic AI experience spanning the entire incident response lifecycle including detection, troubleshooting, and remediation. This is an AI-native user experience including the AI Assistant in Observability Cloud and Splunk MCP Server that delivers in-context insights and frees teams to focus on what matters most and building what’s next, rather than manual troubleshooting.

AI SRE acts as an automated extension of your engineering team. Instead of forcing you to hunt through dashboards, logs, and traces across multiple screens, it accelerates resolution through a three-step workflow: 

• Detect: It continuously monitors your environment, moving beyond static thresholds to automatically detect anomalies and group related alerts.
• Troubleshoot: It instantly sifts through telemetry data to pinpoint the exact root cause, summarizing the issue and its impact in plain English.
• Remediate: It generates a guided, step-by-step remediation plan. Your team can review, execute, or undo these steps directly within their existing workflow to restore service quickly. 

AI SRE is built into Splunk Observability Cloud and works seamlessly across modern, complex environments, including Kubernetes, microservices, and hybrid cloud architectures. Because it leverages OpenTelemetry, it can ingest and analyze metrics, logs, and traces from a vast ecosystem of supported integrations. Whether you are troubleshooting a cloud-native application or legacy infrastructure, AI SRE correlates data to pinpoint root causes. 

The primary benefit of AI SRE is drastically reducing mean time to resolution (MTTR) by reducing manual toil.

Key benefits include:

• Faster triage and resolution: Turn hours of manual investigation into minutes of actionable insight, helping teams achieve up to 50% faster triage. 
• Reduced alert fatigue: Automatically correlate related alerts into unified incidents to cut through the noise. 
• Guided remediation: Move beyond just finding the problem to actually fixing it with AI-generated, step-by-step action plans. Increased productivity:
• Free up your DevOps and SRE teams to focus on innovation and customer experience rather than firefighting outages. 

No, you always remain in control. Splunk AI SRE is designed with a "human-in-the-loop" approach while AI SRE’s troubleshooting agent automatically analyzes telemetry data, identifies probable root cause, and builds a step-by-step remediation plan. With an easy-to-use UI, it relies on your engineering team to review, approve, and execute the final steps. This ensures you get the speed of machine-assisted investigation without sacrificing governance or control over your production environments.